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Power BI Copilot brings large language models (LLMs) into the reporting and analytics experience. In simple terms, LLMs are AI models trained to understand and generate human language. As a result, users can chat with data using natural language rather than relying solely on technical skills.

But its value looks different depending on whether you’re a developer building models or an end user exploring insights. For developers, it reduces repetitive manual work and speeds up report development. For business users, it removes the technical barrier that often slows down access to insights.

That said, we’ll break down how Microsoft Copilot changes analytics for both groups, using real scenarios that highlight the contrast in Power BI.

Setting the Context: Why Copilot Matters in Power BI

Data Analytics is no longer associated with just data discovery and visualization. Most organizations already have reporting systems in place. The real challenge now is speed. Teams want faster answers, quicker report creation, and clearer explanations of what the data actually means.

Copilot enables this by blending Natural Language Processing (NLP), Automation and Data Storytelling inside Power BI. Developers and business users approach it with different needs. And that difference is what makes Copilot practical across the entire analytics lifecycle instead of being just another AI feature.

Copilot for Power BI Developers: Smarter Building, Less Manual Work

From a developer’s perspective, Copilot acts like an assistant that understands both reporting logic and business context:

• Write DAX with Prompts: DAX, which stands for Data Analysis Expressions, is the formula language used in Power BI for calculations and measures. Writing DAX can become time-consuming, especially for complex business calculations. Instead of recalling complex syntax, with Copilot, developers can simply describe what they need in plain English. For example: “Calculate year-over-year revenue growth percentage.” This approach helps reduce syntax errors and speeds up development, especially during rapid dashboard iterations. It is also useful for junior developers who may still be learning advanced DAX patterns. That said, experienced developers should still validate generated formulas carefully.
• Auto-Generate Measure Descriptions: Documentation is one of the most overlooked parts of Power BI development. Yet it becomes critical when reports are shared across departments or maintained by multiple developers. Copilot can automatically generate measure descriptions based on the logic used in calculations. Instead of leaving measures unnamed or poorly documented, teams get cleaner explanations such as: “This measure calculates total quarterly sales excluding cancelled orders.” It might sound simple, but Copilot in Power BI makes report maintenance much easier over time.
• Dataset Overviews and Narrative References: Large datasets often become difficult to interpret quickly, especially during testing or stakeholder reviews. Copilot can generate high-level summaries of datasets and visuals. This helps developers validate whether the report is reflecting the expected business story. For example, Copilot may identify trends like:
  • Revenue concentration in specific regions
  • Declining product categories
  • Seasonal sales patterns
  • Sudden operational spikes

Instead of manually reviewing every chart one by one, developers get a faster starting point for analysis and validation.

• Explain DAX Queries: Complex filters, context transitions, and nested calculations often make formulas difficult to interpret, especially during troubleshooting. Copilot in Power BI simplifies this by translating DAX queries into readable explanations. For example, instead of reading a long formula line-by-line, developers can understand:
  • What filters are being applied
  • Which tables are involved
  • How calculations are evaluated
  • Why a result may be incorrect

This shortens debugging cycles and improves collaboration between technical and managerial stakeholders during report reviews.

Copilot for End Users: Insights Without Wait

For business users, the biggest advantage of Copilot is accessibility. It removes the need to be technical and turns requests into visuals and reports instantly:

• Create Reports with Prompts: Traditionally, building a report requires selecting visuals, configuring fields, formatting layouts, and applying filters manually. Copilot changes this experience. Users can start with a blank canvas and type a prompt like: “Create a dashboard showing monthly revenue, top-performing products, and regional trends.” Copilot generates visuals and layouts automatically. This is particularly useful for department heads, analysts, and managers who need quick exploratory reports without waiting for a full BI development cycle. Of course, enterprise-grade reporting still requires governance and validation. But for quick analysis and internal reviews, this significantly reduces reporting delays.
• Ask Questions in Plain Language: Use One of the strongest capabilities inside Power BI Copilot is conversational querying. Users can ask direct business questions like:
  • “Which branch had the highest operational cost last quarter?”
  • “Show customer churn trends by month.”
  • “Compare this year’s revenue with last year.”

Copilot converts these requests into queries and visuals instantly. This matters because many business users understand business problems clearly but struggle with technical reporting tools. Microsoft Copilot closes that gap by enabling nearly anyone to interact with data as if speaking to an analyst.

• Generate Narratives Automatically: Charts alone do not always explain what is happening. Executives often need written summaries they can quickly understand and share during meetings. Copilot can generate narrative explanations from visuals on its own. For example, instead of showing only a declining sales chart, Copilot may summarize: “Sales dropped by 12% in the western region due to lower demand in two product categories.” This improves communication during leadership presentations and executive reviews. It also helps teams that may not be comfortable interpreting detailed visual analytics independently.
• Set Up Report Subscriptions: For the teams still relying on manual follow-ups to track KPIs, Copilot simplifies it by configuring report subscriptions and automated updates. Instead of opening dashboards repeatedly, users can receive scheduled reports and insights directly in their inbox. This ensures important metrics remain visible without depending on constant manual monitoring. For leadership teams managing multiple operational areas, this small improvement can save significant time weekly.

The Best Part – Copilot in Power BI Mobile Apps

Copilot is not limited to desktops. Inside Microsoft Power BI mobile apps, Copilot makes analytics more accessible for field teams, traveling executives, plant managers, and remote decision-makers:

1. Ask quick questions and get visuals on the go: Users can query reports directly from mobile devices using natural language, instead of waiting to access laptops.
2. Summaries are auto-generated in text for fast understanding: Copilot generates text summaries and short explanations for dashboards, rather than analyzing multiple visuals individually.

• Mobile-first design ensures smooth navigation: On-ground staff and field executives often need analytics access outside office environments. Copilot’s mobile experience supports faster navigation, simplified interaction, and easier report consumption without requiring advanced technical knowledge.

Conclusion: The Shared Impact of Productivity and Confidence

On the one hand, Copilot in Power BI for developers shortens repetitive development work, simplifies documentation, and helps explain complex logic more quickly. On the other hand, for end users, it removes technical barriers that often slow down decision-making. When both technical and support teams benefit from AI-powered analytics within Power, it makes a measurable business impact.

Every organization has Copilot in Power BI, but not all use it effectively. Our experts at UBTI will help you define use cases, establish best practices, and ensure it works for your developers and end users alike. Connect with our specialists for a brief strategy session.